Services
As a Data Engineer, I specialize in designing and optimizing scalable ETL/ELT pipelines, leveraging Azure Data Factory, AWS Glue, and PySpark. I build cloud-based data warehouses and lakes using Snowflake, BigQuery, and Redshift, enabling high-performance analytics. I also create real-time data streaming solutions with Kafka, Spark Streaming, and Flink for low-latency processing, while optimizing data operations through Elasticsearch, OpenSearch, and Apache Airflow.!
Data Engineering & ETL Development
I specialize in designing and optimizing scalable ETL/ELT pipelines to streamline data processing and transformation. Using tools like Apache Spark, PySpark, Azure Data Factory, and AWS Glue, I ensure efficient data movement, integration, and processing across diverse platforms.
Cloud Data Solutions
Leveraging Azure, AWS, and GCP, I build secure, high-performance cloud-based data solutions. From setting up data lakes, warehouses (Snowflake, BigQuery, Redshift) to deploying serverless data processing with Databricks, I help businesses scale their data infrastructure.
Real-Time Data Streaming & Analytics
I implement real-time data pipelines using Kafka, Spark Streaming, and Flink to enable low-latency analytics and event-driven architectures. Whether it’s log processing, fraud detection, or real-time dashboards, I ensure businesses get instant insights from their data.
DataOps & Performance Optimization
I optimize data workflows, indexing, and query performance using tools like Elasticsearch, OpenSearch, and Apache Airflow. With a focus on automation, CI/CD, and monitoring, I enhance data reliability, reduce costs, and improve processing speeds
